Business Analytics with R Training

Business Analytics with R Training

  • (5.0)
  • 957 Ratings
  • Duration : 30 Hrs
  • Lab Sessions : 20
  • Certification Pass : Guranteed
  • Learners : 982

MindMajix Business Analytics with R Training: Experience the real-time implementation of Business Analytics using R Programming, Knowledge on the various Sub-setting methods in R, R for the analysis, Functions used in R for Data Inspection, Introduction to Spatial Analysis in R, R Classification Rules for Decision Trees, advanced analytics and data analysis with R., etc. You will also get an exposure to industry based Real-time projects in various verticals.

Mindmajix Advantages

  • Expert Instructors
  • Practical Implementation
  • Real- time Case Studies
  • Lifetime Access thru LMS
  • Job Readiness
  • Resume Building

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Modes of Training

Self Paced

Self Paced Video Learning

Access to High Quality pre-recorded Business Analytics with R Training videos (from a previous live training).


Instructor Led Live Training

Live Online training by Certified & industry expert Trainers & On Demand Dedicated Cloud lab and LMS access.


Corporate Training

Self-Paced e-learning and/or instructor-led Live online training options & Learning Management System access.

Mindmajix Business Analytics with R Training will introduce you to the concept of business analytics, data mining, data manipulation, exploratory data analysis, sentiment analysis and many other such concepts using open source R – Programming language. This course provides you a better vision to "R" programming language in order to train you more effectively and efficiently.Participants at the end of the training will be technically competent in R programming language concepts such as data visualization, exploration, statistical concepts like linear & logistic regression, cluster analysis and predictive modelling.

Business Analytics with R is being used by most of the world’s top multinationals. Business Analytics with R professionals are earning very high salaries when compared with other technologies.With high demand and a number of job opportunities in this field,  the following people will get benefited from this course

Job seekers looking for a career in data crunching and analysis
Data analysts
IT professionals

An in-depth knowledge on Business Analytics with R project which focuses on all the critical components of Business Analytics with R will be provided by our trainer. As a result, you can increase your visibility and increase your efficiency and draw real connections between different components of Business Analytics with R. You will also get the complete material covering all the aspects of this project.

In this module, you will understand what is R language, business analytics with R, Installing R and much more…

Understand Business Analytics and R
Knowledge on the R language
Community and ecosystem
Understand the use of ‘R’ in the industry
Compare R with other software in analytics
Install R and the packages useful for the course
Perform basic operations in R using command line
Learn the use of IDE R Studio and Various GUI
Use the ‘R help’ feature in R
Knowledge about the worldwide R community collaboration.

R language is widely used among statisticians and data miners for developing statistical software and data analysis.

The various kinds of data types in R and its appropriate uses
The built-in functions in R like: seq(), cbind (), rbind(), merge()
Knowledge on the various Sub-setting methods in R
Summarize data by using functions like: str(), class(), length(), nrow(), ncol() in R
Use of functions like head(), tail() for inspecting data
Indulge in a class activity to summarize data in R

One of the most important aspects of computing with data is the ability to manipulate it, to enable subsequent analysis and visualization. R offers a wide range of tools for this purpose.

The various steps involved in R for Data Cleaning
Functions used in R for Data Inspection
Tackling the problems faced during Data Cleaning
Uses of the functions like grep(), sub()
Coerce the data in R
Uses of the apply() functions.

This module describes how to enter or import data into R, and how to prepare it for use in statistical analyses.

Import data from spreadsheets and text files into R
Import data from other statistical formats like sas7bdat and spss into R
Package installation used for database import
Connect to RDBMS from R using ODBC and basic SQL queries in R
Basics of Web Scraping in R

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set.

Understanding the Exploratory Data Analysis (EDA)
Implementation of EDA on various datasets in R
Box plots
Understanding the cor() in R
EDA functions like summarize()
Multiple packages in R for data analysis
The Fancy plots like Segment plot and HC plot in R.

One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code.

Understanding on Data Visualization
Graphical functions present in R
Plot various graphs in R like table plot, histogram, box plot
Customizing Graphical Parameters to improvise the plots
Understanding GUIs like Deducer and R Commander
Introduction to Spatial Analysis in R

This module will concentrate on k means clustering techniques.

Introduction to Data Mining in R
Understanding Machine Learning
Supervised and Unsupervised Machine Learning Algorithms in R
K-means Clustering.

Understand Association Rule Mining in R and sentiment analysis.

Association Rule Mining in R
Sentiment Analysis.

We’ll demonstrate linear regression and logistic regression in this module

Linear Regression in R
Logistic Regression in R

In this module, learn about Anova and predictive analysis techniques in R

Predictive Analysis.

This module will enlighten you over the decision trees in R, classification Rules, concepts of random forest and much more..

Decision Trees in R
Algorithm for creating Decision Trees
Greedy Approach: Entropy and Information Gain
Creating a Perfect Decision Tree in R
R Classification Rules for Decision Trees
Concepts of Random Forest in R
Working of Random Forest in R
Features of Random Forest in R

This module discusses the concepts taught throughout the course and their implementation in a Project..

Analyse Census Data
To predict insights on the income of the people based on the factors like : Age, education, work-class, occupation, etc.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available if the participants are more than 2.

As we are one of the leading providers of Live Instructor LED training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

New York, New jersey, Dallas, Seattle, Baltimore, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubbai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland etc…

The Mindmajix Sellf-Paced Training is for candidates who enjoy learning at their own pace. Our Self-Paced program is comprised of :

Provision to one-on-one sessions
24/7 Live Support
Time-to-time doubt clearance

All these features come as a benefit for the trainees attempting the training.

Yes. You as a learner enjoy the fullest benefits of converting from Self-Paced training to Instructor-Led training at any point of time during the course. 

At Mindmajix, we avail Self-Paced Training and Online Instructor-Led Training provided by Industry experienced professionals. Along with them, we specialize in Corporate Training, particularly designed for business organizations. Our elaborately designed Demo Sessions make your vision clear for the subject and motivate you to opt the newer technologies in the industry.

How to get certified in Business Analytics with R?

Imarticus and Acadgild provide the certifications for Business Analytics with R. For passing these tests, an in-depth understanding of all the Business Analytics with R concepts is recommended. The learning path and the project Mindmajix comes up with will be exactly in line with these certification programs which enables you to clear Business Analytics with R certification exams with greater ease and secure a job in top multinationals.

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  • R

    This was my first Online training. I am very satisfied with the Business Analytics with R training methodologies, and gained valuable knowledge about the entire course. Thank You Mindmajix!!
  • D

    Thanks to the team. Wonderful learning experience, instructer-led demonstrations, step-by-step procedures helped me a lot to gain skillset and knowledge on Business Analytics with R. Special thanks to the Trainer as well as Mindmajix.